{
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  "Package": "plsdof",
  "Type": "Package",
  "Title": "Degrees of Freedom and Statistical Inference for Partial Least\nSquares Regression",
  "Version": "0.5-0",
  "Date": "2026-03-24",
  "Authors@R": "c(\nperson(given = \"Nicole\", family= \"Kraemer\", role = c(\"aut\")),\nperson(given = \"Mikio L.\", family= \"Braun\", role = c(\"aut\")),\nperson(given = \"Frederic\", family= \"Bertrand\", role = c(\"aut\", \"cre\"),\nemail = \"frederic.bertrand@lecnam.net\", comment = c(ORCID = \"0000-0002-0837-8281\")))",
  "Author": "Nicole Kraemer [aut], Mikio L. Braun [aut], Frederic Bertrand\n[aut, cre] (ORCID: <https://orcid.org/0000-0002-0837-8281>)",
  "Maintainer": "Frederic Bertrand <frederic.bertrand@lecnam.net>",
  "Description": "The plsdof package provides Degrees of Freedom estimates\nfor Partial Least Squares (PLS) Regression. Model selection for\nPLS is based on various information criteria (aic, bic, gmdl)\nor on cross-validation. Estimates for the mean and covariance\nof the PLS regression coefficients are available. They allow\nthe construction of approximate confidence intervals and the\napplication of test procedures (Kramer and Sugiyama 2012\n<doi:10.1198/jasa.2011.tm10107>). Further, cross-validation\nprocedures for Ridge Regression and Principal Components\nRegression are available.",
  "License": "GPL (>= 2)",
  "LazyLoad": "yes",
  "NeedsCompilation": "no",
  "Encoding": "UTF-8",
  "X-CRAN-Original-Maintainer": "Nicole Kraemer\n<kraemer_r_packages@yahoo.de>",
  "X-CRAN-Comment": "Orphaned and corrected on 2018-07-21 as check problems\nwere not corrected despite reminders.",
  "RoxygenNote": "7.3.3",
  "URL": "https://github.com/fbertran/plsdof,\nhttps://fbertran.github.io/plsdof/",
  "BugReports": "https://github.com/fbertran/plsdof/issues",
  "Config/testthat/edition": "3",
  "Repository": "https://fbertran.r-universe.dev",
  "Date/Publication": "2026-03-24 18:21:09 UTC",
  "RemoteUrl": "https://github.com/fbertran/plsdof",
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    "User": "root"
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  "_published": "2026-06-22T10:11:48.024Z",
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    "committer": "Frederic Bertrand <frederic.bertrand@lecnam.net>",
    "message": "Update R CMD check action\n",
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    "email": "frederic.bertrand@lecnam.net",
    "login": "fbertran",
    "orcid": "0000-0002-0837-8281",
    "twitter": "@BertrandFrdric2",
    "description": "Full professor in statistical modelling and data science at the CNAM Paris, France",
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  "_selfowned": true,
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  "_updates": [
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      "n": 1
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  "_stars": 3,
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    "name": "Frederic Bertrand",
    "followers": 43,
    "description": "Full professor in statistical modelling and data science at the CNAM Paris, France"
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  "_pkgdown": "https://fbertran.github.io/plsdof/",
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  "_rbuild": "4.6.0",
  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/plsdof.html",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
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  "_realowner": "fbertran",
  "_cranurl": true,
  "_releases": [
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      "date": "2009-11-16"
    },
    {
      "version": "0.1-1",
      "date": "2009-11-27"
    },
    {
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      "date": "2010-02-23"
    },
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      "date": "2010-06-03"
    },
    {
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      "date": "2011-04-28"
    },
    {
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      "date": "2012-07-26"
    },
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      "date": "2012-11-23"
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      "date": "2013-02-06"
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      "date": "2013-03-19"
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      "date": "2014-09-04"
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      "date": "2018-07-21"
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      "date": "2018-08-28"
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      "date": "2019-01-31"
    },
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      "date": "2021-03-14"
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      "date": "2022-11-30"
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      "date": "2025-09-14"
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    "benchmark.regression",
    "compute.lower.bound",
    "dA",
    "dnormalize",
    "dvvtz",
    "first.local.minimum",
    "information.criteria",
    "kernel.pls.fit",
    "krylov",
    "linear.pls.fit",
    "normalize",
    "pcr",
    "pcr.cv",
    "pls.cv",
    "pls.dof",
    "pls.ic",
    "pls.model",
    "ridge.cv",
    "tr",
    "vvtz"
  ],
  "_help": [
    {
      "page": "benchmark.pls",
      "title": "Comparison of model selection criteria for Partial Least Squares Regression.",
      "topics": [
        "benchmark.pls"
      ]
    },
    {
      "page": "benchmark.regression",
      "title": "Comparison of Partial Least Squares Regression, Principal Components Regression and Ridge Regression.",
      "topics": [
        "benchmark.regression"
      ]
    },
    {
      "page": "coef.plsdof",
      "title": "Regression coefficients",
      "topics": [
        "coef.plsdof"
      ]
    },
    {
      "page": "compute.lower.bound",
      "title": "Lower bound for the Degrees of Freedom",
      "topics": [
        "compute.lower.bound"
      ]
    },
    {
      "page": "dA",
      "title": "Derivative of normalization function",
      "topics": [
        "dA"
      ]
    },
    {
      "page": "dnormalize",
      "title": "Derivative of normalization function",
      "topics": [
        "dnormalize"
      ]
    },
    {
      "page": "dvvtz",
      "title": "First derivative of the projection operator",
      "topics": [
        "dvvtz"
      ]
    },
    {
      "page": "first.local.minimum",
      "title": "Index of the first local minimum.",
      "topics": [
        "first.local.minimum"
      ]
    },
    {
      "page": "information.criteria",
      "title": "Information criteria",
      "topics": [
        "information.criteria"
      ]
    },
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      "topics": [
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      "page": "krylov",
      "title": "Krylov sequence",
      "topics": [
        "krylov"
      ]
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      "title": "Linear Partial Least Squares Fit",
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        "tr"
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    },
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      "topics": [
        "vcov.plsdof"
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